» Articles » PMID: 28780929

A Spiral Attractor Network Drives Rhythmic Locomotion

Overview
Journal Elife
Specialty Biology
Date 2017 Aug 8
PMID 28780929
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

The joint activity of neural populations is high dimensional and complex. One strategy for reaching a tractable understanding of circuit function is to seek the simplest dynamical system that can account for the population activity. By imaging 's pedal ganglion during fictive locomotion, here we show that its population-wide activity arises from a low-dimensional spiral attractor. Evoking locomotion moved the population into a low-dimensional, periodic, decaying orbit - a spiral - in which it behaved as a true attractor, converging to the same orbit when evoked, and returning to that orbit after transient perturbation. We found the same attractor in every preparation, and could predict motor output directly from its orbit, yet individual neurons' participation changed across consecutive locomotion bouts. From these results, we propose that only the low-dimensional dynamics for movement control, and not the high-dimensional population activity, are consistent within and between nervous systems.

Citing Articles

Dynamics of brain-muscle networks reveal effects of age and somatosensory function on gait.

Roeder L, Breakspear M, Kerr G, Boonstra T iScience. 2024; 27(3):109162.

PMID: 38414847 PMC: 10897916. DOI: 10.1016/j.isci.2024.109162.


Latent neural population dynamics underlying breathing, opioid-induced respiratory depression and gasping.

Bush N, Ramirez J Nat Neurosci. 2024; 27(2):259-271.

PMID: 38182835 PMC: 10849970. DOI: 10.1038/s41593-023-01520-3.


A Single Central Pattern Generator for the Control of a Locomotor Rolling Wave in Mollusc .

Wang H, Yu K, Yang Z, Zhang G, Guo S, Wang T Research (Wash D C). 2023; 6:0060.

PMID: 36930762 PMC: 10013812. DOI: 10.34133/research.0060.


The centrality of population-level factors to network computation is demonstrated by a versatile approach for training spiking networks.

DePasquale B, Sussillo D, Abbott L, Churchland M Neuron. 2023; 111(5):631-649.e10.

PMID: 36630961 PMC: 10118067. DOI: 10.1016/j.neuron.2022.12.007.


Local networks from different parts of the human cerebral cortex generate and share the same population dynamic.

Willumsen A, Midtgaard J, Jespersen B, Hansen C, Lam S, Hansen S Cereb Cortex Commun. 2022; 3(4):tgac040.

PMID: 36530950 PMC: 9753090. DOI: 10.1093/texcom/tgac040.


References
1.
Lewis J, Kristan Jr W . A neuronal network for computing population vectors in the leech. Nature. 1998; 391(6662):76-9. DOI: 10.1038/34172. View

2.
Jing J, Vilim F, Cropper E, Weiss K . Neural analog of arousal: persistent conditional activation of a feeding modulator by serotonergic initiators of locomotion. J Neurosci. 2008; 28(47):12349-61. PMC: 6671700. DOI: 10.1523/JNEUROSCI.3855-08.2008. View

3.
Wu J, Cohen L, Falk C . Neuronal activity during different behaviors in Aplysia: a distributed organization?. Science. 1994; 263(5148):820-3. DOI: 10.1126/science.8303300. View

4.
Portugues R, Feierstein C, Engert F, Orger M . Whole-brain activity maps reveal stereotyped, distributed networks for visuomotor behavior. Neuron. 2014; 81(6):1328-1343. PMC: 4448760. DOI: 10.1016/j.neuron.2014.01.019. View

5.
Briggman K, Kristan Jr W . Imaging dedicated and multifunctional neural circuits generating distinct behaviors. J Neurosci. 2006; 26(42):10925-33. PMC: 6674766. DOI: 10.1523/JNEUROSCI.3265-06.2006. View